Quantum-behaved Particle Swarm Optimization with Nelder-Mead Simplex Search Method

This paper proposes a novel hybrid algorithm based on quantum-behaved particle swarm optimization (QPSO) algorithm and Nelder-Mead (NM) simplex search method for continuous optimization problems, abbreviated as QPSO-NM. This hybrid algorithm is very easy to be implemented since it does not require c...

書誌詳細
出版年:	Journal of Risk Analysis and Crisis Response (JRACR)
第一著者:	Weiquan Yao
フォーマット:	論文
言語:	英語
出版事項:	Society for Risk Analysis - China 2015-04-01
主題:	Swarm optimization Nelder -Mead simplex method hybrid algorithm continuous optimization
オンライン･アクセス:	https://www.atlantis-press.com/article/18933.pdf

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